okuron.ai

Enterprise AI / Local Infrastructure / Private Execution

ENTERPRISE AI ZERO CLOUD EXPOSURE

Run powerful, autonomous AI agents completely air-gapped inside your own infrastructure

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Local Execution. Verified Protection.

A visual proof layer showing how internal data stays inside your infrastructure while external threats are blocked before they ever reach execution.

Okuron Engine
Internal Data
Private Database
Execution Layer
Agent Node
External
Cyber Attack
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Architecture
The Security Fortress
Air-Gap Guardrails
Okuron operates entirely inside your private infrastructure. With zero telemetry egress, localized models remain isolated from public internet exposure.
Aegis Overseer
Continuous policy verification monitors every request, routing path, and execution step before protected runtime access is granted.
Variable TTL (Time-To-Live)
Sensitive context windows can be configured to expire automatically, reducing memory persistence and limiting long-term retention.
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External
Friendly fire
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Click me
Architecture
The Security Fortress
Air-Gap Guardrails
Okuron operates entirely inside your private infrastructure. With zero telemetry egress, localized models remain isolated from public internet exposure.
Aegis Overseer
Continuous policy verification monitors every request, routing path, and execution step before protected runtime access is granted.
Variable TTL (Time-To-Live)
Sensitive context windows can be configured to expire automatically, reducing memory persistence and limiting long-term retention.
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XXX

The Problem

The Problem with Current AI Platforms

Most AI infrastructure still forces enterprises into cloud exposure, fragmented tooling and unnecessary operational complexity.

01 ☁

Cloud AI

Sensitive data leaves your infrastructure and critical workflows depend on external services you do not control.

External cloud dependency creates risk.

02 ⌘

Fragmented Tools

Agents, models and workflows are scattered across disconnected systems.

Disconnected tools break workflows.

03 ⛨

Security Risks

Compliance and control become harder across fragmented AI systems.

Security complexity increases rapidly.

04 ⇄

Integration Overhead

Developers waste time stitching systems together instead of building.

Integration slows everything down.

Agent Library

Production-ready agents for high-value enterprise workflows.

Browse a curated catalog of DTST agents designed to automate critical tasks out of the box — with clear capabilities, required skills, and deployment-ready model profiles.

Library Type
DTST Agent Catalog
Usage
Automation / Analysis / Forecasting
Interaction
Hover cards for specs & skills

DTST / Security

Vanguard SOC Analyst

⛨
Primary Role Security Monitoring
Output Incident Triage & Risk Summaries
Environment Private Infrastructure

Designed for SOC teams that need faster triage, escalation summaries, and localized security analysis without exposing operational data.

Hover for specs
Card 01

Required Skills

Vanguard SOC Analyst

SEC
SIEM Connector Log Parsing Threat Classification SOC Playbook Logic SAP OData Bridge
Default Model Profile 14B / 32B
Reasoning Mode Structured Triage
Typical Context Window 32k
Deployment Class Local / Isolated
Ideal for internal security teams that want a persistent analyst layer for event review, incident prioritization, and controlled investigation support.

DTST / Forecasting

Praetorian Forecaster

◌
Primary Role Predictive Planning
Output Scenario Analysis & Forecast Packs
Environment Local Business Intelligence

Built for strategic forecasting, planning simulations, and rapid scenario modeling on sensitive internal business data.

Hover for specs
Card 02

Required Skills

Praetorian Forecaster

FCST
Time Series Analysis Scenario Mapping ERP Data Adapter KPI Interpretation SAP OData Bridge
Default Model Profile 14B / 70B
Reasoning Mode Forecast Synthesis
Typical Context Window 64k
Deployment Class Local / Controlled
Ideal for leadership teams, planners, and analysts who need forward-looking decision support without pushing operational data to the cloud.

DTST / Intelligence

Lumina Insight Architect

✦
Primary Role Knowledge Synthesis
Output Research Briefs & Insight Models
Environment Internal Research Stack

Designed to connect fragmented internal knowledge and turn raw data into structured insight frameworks for teams and decision-makers.

Hover for specs
Card 03

Required Skills

Lumina Insight Architect

INS
RAG Pipeline Document Synthesis Ontology Mapping Research Structuring SAP OData Bridge
Default Model Profile 32B / 70B
Reasoning Mode Insight Composition
Typical Context Window 64k+
Deployment Class Local / Research
Best for strategy, research, and knowledge-heavy teams that need internally grounded insight generation with strong structural clarity.

Security & Trust Fortress

Built for environments where control is non-negotiable.

Okuron runs inside your own infrastructure with isolated local components, blocked external data flow, and a deployment model designed for high-trust environments.

Deployment Blueprint
Local / Isolated / Auditable

Outer Boundary

Host Machine / Private Infrastructure

Isolation Layer

Docker Container Boundary

Process separation active
Control Layer
Okuron App

Local interface and orchestration layer for secure private AI workflows.

Execution
Agent Runtime

Autonomous task execution remains inside the isolated environment.

Data Store
Supabase

Structured local data handling without routing sensitive information outward.

Model Layer
Ollama LLM

Model inference runs locally rather than relying on external cloud APIs.

Zero external egress
Internal traffic only

Zero Egress Guarantee

Zero telemetry. Zero cloud fallback. Zero external data egress.

No hidden analytics or silent tracking modules.
No forced remote execution path when local infrastructure is available.
Sensitive data remains inside the host environment by design.
GDPR

GDPR Ready

Data can remain under your direct infrastructure control instead of leaving the host environment.

HIPAA

HIPAA-Aligned Deployment

Supports private handling of sensitive workloads through local execution and isolated system boundaries.

SOC 2

SOC 2-Oriented Controls

Environment separation, controlled access patterns, and auditable architecture support enterprise review processes.

AUDIT

RBAC / HITL / Auditability

Governance-friendly workflows with human oversight, access control, and transparent operational review paths.

The Solution

One platform to run AI locally.

Deploy, orchestrate and manage AI systems inside your infrastructure. Okuron becomes the private operating layer between your models, agents, tools and business workflows.

Enterprise systems
Input
Hover Effekt!

Beim hover löst sich diese Karte und ein Bild wird sichtbar.

TEST

hier muss nichts stehen, man kann auch einfach nur ein Bild einfügen.

Models
Local Model Layer

LLMs, embeddings, classifiers and specialized models running inside your environment.

Core
Okuron

Agent orchestration, policies, routing, auditability and enterprise workflow control.

Execution
Agents & Automation

Task pipelines, decision logic, retrieval and tool use coordinated in one layer.

Output
Governed Results
01

Hover Effekt!

beim Hover flipped diese Karte und ein Bild wird sichtbar.

Local AI architecture
Test

Hier muss kein Text stehen - können auch nur ein Bild einfügen zum bsp

02

Agent orchestration

Coordinate intelligent workflows, route tasks and manage multi-step automation from one operational layer.

03

Enterprise control

Security, governance, monitoring and role-based control built into the platform from the start.

How It Works

From internal data to governed execution.

Okuron connects the pieces that matter: your infrastructure, your models and your workflows. The result is a cleaner path from request to outcome.

Connect internal sources
Step 01

Hover effekt!

gleicher effekt wie oben.

TEST

Auch hier kann man Text wieder weglassen und nur Bild oder andersrum... dachte an Screenshots evtl.

Step 02

Run intelligent workflows

Launch agents, route requests across models and apply structured policies around task execution and permissions.

Step 03

Monitor and govern

Track outputs, enforce governance and keep enterprise oversight visible across every operational AI workflow.

Use Cases

Private knowledge assistants for internal teams and sensitive operations.

Workflow automation across documents, systems and decision chains.

Secure model deployment and orchestration for enterprise departments.

Built For
Operations
IT & Security
Knowledge Teams
Enterprise R&D

Enterprise Control

Privacy is not a feature. It is the operating principle.

Okuron is designed for organizations that want real AI capability without surrendering visibility, ownership or architectural control.

Security

Inside your environment

Keep execution close to your infrastructure and reduce external exposure.

Governance

Observable by design

Make AI activity operational, inspectable and aligned with enterprise rules.

Architecture

Composable system layer

Use the models, agents and tools that fit your internal stack and strategy.

Operations

Built for real teams

Move from isolated experiments to structured enterprise deployment.

Core Value
Local-first

AI infrastructure designed around control, proximity and enterprise execution quality.

Models

Deploy and route across multiple internal model types.

Agents

Run orchestrated workflows instead of isolated prompts.

Policies

Apply governance and permissions at the execution layer.

Insight

Monitor how AI moves through your organization.

Plans

Start focused. Scale with control.

Use these as placeholders for now. You can later replace the copy with your actual commercial model.

Starter
Private Pilot

Ideal for initial enterprise exploration and internal proof-of-concept deployments.

  • Local deployment setup
  • Initial model configuration
  • Foundational workflow support
Growth
Operational Core

For organizations moving from experimentation toward structured internal AI operations.

  • Agent orchestration layer
  • Workflow integration
  • Governance and monitoring
Enterprise
Full Control Stack

For mature environments with advanced security, scale and internal AI operating requirements.

  • Custom architecture support
  • Advanced policy controls
  • Enterprise rollout model

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Bring enterprise AI back under your control.

Replace public dependency with private execution. Build the architecture your organization can actually trust.

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